Shypd.aiThe largest open index of AI toolsrq-vae-transformer is an open-source image generation tool that implements Autoregressive Image Generation using Residual Quantization. It enables high-resolution image generation using class and text conditions.
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rq-vae-transformer is the official open-source implementation of "Autoregressive Image Generation using Residual Quantization" (CVPR 2022). This framework, consisting of RQ-VAE and RQ-Transformer, is designed for autoregressive modeling of high-resolution images. It precisely approximates feature maps and represents images as stacks of discrete codes, facilitating the generation of high-quality images. The tool supports image generation using both class and text conditions, with pretrained checkpoints available for various datasets including FFHQ, LSUN, ImageNet, and CC-3M. It also includes a large-scale RQ-Transformer for text-to-image generation, trained on millions of text-image pairs. The repository provides code for training and evaluation pipelines, as well as Jupyter notebooks for easy text-to-image generation.
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